System and method for dynamic robot profile configurations based on user interactions

Abstract

The present teaching relates to method, system, medium, and implementations for configuring an animatronic device. Information about a user is obtained for whom an animatronic device is to be configured to carry out a dialogue with the user. One or more preferences of the user are identified from the obtained information and are used to select, from the plurality of selectable profiles, a first selected profile, which specifies parameters to be used to control a manner by which the animatronic device is to communicate with the user. The animatronic device is then configured based on the first selected profile for carrying out the dialogue in the manner specified.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to U.S. provisional application No. 62 / 630,912, filed Feb. 15, 2018, the contents of which are incorporated herein by reference in its entirety.[0002]The present application is related to U.S. patent application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-0502424), International Application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-0461769), U.S. patent application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-0502426), International Application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-0461770), U.S. patent application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-0502427), International Application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-0461772), U.S. patent application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-0502428), International Application ______, filed Dec. 27, 2018 (Attorney Docket No.: 047437-04617...

AI Technical Summary

Benefits of technology

The present patent text describes methods, systems, and programming for human machine communication. Specifically, it focuses on adaptive human machine communication, where a machine can automatically adjust its communication with a user based on the user's preferences and information. The text describes how the machine can obtain information about the user, select a suitable profile for controlling the communication based on the information, and actually communicate with the user in the selected manner. Overall, the patent describes a system and method for creating a unique and customizable experience for each user through automated human machine communication.

Problems solved by technology

Unfortunately, human conversant can be unpredictable and sometimes does not follow a pre-planned dialogue pattern.

In addition, in certain situations, a human conversant may digress during the process and continuing a fixed conversation pattern will likely cause irritation or loss of interests.

When this happens, such machine traditional dialogue systems often will not be able to continue to engage a human conversant so that the human machine dialogue either has to be aborted to hand the tasks to a human operator or the human conversant simply leaves the dialogue, which is undesirable.

In addition, traditional machine-based dialogue systems are often not designed to address the emotional factor of a human, let alone taking into consideration as to how to address such emotional factor when conversing with a human.

As such, although they are programmed to faithfully follow the pre-designed dialogue pattern, they are usually not able to act on the dynamics of the conversation and adapt in order to keep the conversation going in a way that can engage the human.

This not only makes the conversation end unpleasantly (the machine is still unaware of that) but also turns the person away from conversing with any machine-based dialogue system in the future.

Another limitation of the traditional dialogue systems is their context unawareness.

For example, a traditional dialogue system is not equipped with the ability to observe the context of a conversation and improvise as to dialogue strategy in order to engage a user and improve the user experience.

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